Distances are more explicitly generated when deep learning models are equipped with attention mechanisms. For example, in the model of recurrent attention a sequence of views is formed, whose coordinates can be obtained explicitly if desired[1]}. However, training models with attention, both old and newer[2]}, requires a lot of data, since work is still being done with large networks. Thus, the task of creating a deep agent, whose data representation is object-oriented at all levels of abstraction and at the same time allows learning from several samples, has not yet been solved.
